{"id":"W959364689","doi":"10.1021/acsmacrolett.5b00340","title":"Experimental Evidence of Weak Excluded Volume Effects for Nanochannel Confined DNA","year":2015,"lang":"en","type":"article","venue":"ACS Macro Letters","topic":"Nanopore and Nanochannel Transport Studies","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Division of Materials Research; National Human Genome Research Institute; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; National Science Foundation; Minnesota Supercomputing Institute, University of Minnesota; National Institutes of Health; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Scaling; Shearing (physics); Dispersity; Excluded volume; Volume (thermodynamics); Materials science; Nanotechnology; Spectroscopy; Statistical physics; Chemical physics; Physics; Thermodynamics; Mathematics; Quantum mechanics; Polymer chemistry; Geometry; Polymer","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001589536,0.0002327438,0.0003585345,0.00008555582,0.00005127537,0.00001216902,0.000202685,0.00006663283,0.000008481293],"category_scores_gemma":[0.00004340613,0.0002302223,0.0001116172,0.0001418329,0.00008592968,0.0001616138,0.00003034052,0.00006832953,0.00001941665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005594566,"about_ca_system_score_gemma":0.00001478962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002905863,"about_ca_topic_score_gemma":0.000004775665,"domain_scores_codex":[0.9989172,0.00001498827,0.0002822769,0.0002158595,0.0002069615,0.0003627302],"domain_scores_gemma":[0.9994391,0.0001210401,0.00005299168,0.0002216115,0.00006309454,0.0001021497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001008928,0.00002777076,0.0002038001,0.0003167375,0.0001062481,0.00001191623,0.001585906,0.0005510813,0.9565794,0.00003799553,0.04030805,0.0001701636],"study_design_scores_gemma":[0.001245517,0.0002325766,0.0002315017,0.0001935528,0.00004671444,0.000003676558,0.0002188587,0.0003714188,0.9938223,0.00003200382,0.003318048,0.0002838068],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857709,0.004167577,0.007075821,0.0007674794,0.001201649,0.0006000572,0.00001743212,0.00021503,0.0001840525],"genre_scores_gemma":[0.998423,0.00003890954,0.0005802876,0.000412114,0.0001643922,0.0001649713,0.00001195288,0.00004675105,0.0001575603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03724289,"threshold_uncertainty_score":0.9388195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02919938929146072,"score_gpt":0.2521110611580807,"score_spread":0.22291167186662,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}